
Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_b_interviewee.csv

Variable      Obs Unique      Mean  Min  Max  Label
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interview_~y  347    347         .    .    .  
interview_~d  347    347         .    .    .  
b101          347      2  1.132565    1    2  Is the respondent the owner of this trading business
b103          347      2  1.149856    1    2  B103. Is the owner male or female?
b104_cat      347      4  2.870317    1    4  Categories of age of trader/business owner
b105          347     14  14.00288    2   19  B105. What is the owner's highest level of eduational attainment?
b106_rev      347      1         1    1    1  RECODE of b106 (B106. Does the owner's household own any agricultural land?)
b107_rev       95      2  1.547368    1    2  RECODE of b107 (B107. What area of agricultural land is owned by the owner's hou
b108__1       347      2  .0115274    0    1  owner's household engage in: Agricultural inputs supply business
b108__2       347      2  .0086455    0    1  owner's household engage in: Rice mill
b108__3       347      2  .0461095    0    1  owner's household engage in: Dry goods shop
b108__4       347      2  .0115274    0    1  owner's household engage in: Truck rental business
b108__5       347      1         0    0    0  owner's household engage in: Agricultural machinery rental business
b108__6       347      1         0    0    0  owner's household engage in: Agricultural machinery dealership representative
b108__7       347      2  .0835735    0    1  owner's household engage in: Other non-farm business 1
b108__8       347      2  .0115274    0    1  owner's household engage in: Other non-farm business 2
b108__9       347      2  .0028818    0    1  owner's household engage in: Other non-farm business 3
b108__10      347      2  .0028818    0    1  owner's household engage in: Livestock/poultry raising business
b108__11      347      2  .0893372    0    1  owner's household engage in: Professional or government job
b108__12      347      2  .0259366    0    1  owner's household engage in: Other salaried work 1
b108__13      347      1         0    0    0  owner's household engage in: Other salaried work 2
b108__14      347      1         0    0    0  owner's household engage in: Other salaried work 3
b108__99      347      2  .0806916    0    1  owner's household engage in: Other
b108__15      347      2  .6743516    0    1  owner's household engage in: None of these
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_c_business.csv

Variable      Obs Unique      Mean   Min   Max  Label
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interview_~y  347    347         .     .     .  
interview_~d  347    347         .     .     .  
c100__1       347      2  .9913545     0     1  owner of this business ever engaged in: Pulses/oilseed trading
c100__2       347      2  .0634006     0     1  owner of this business ever engaged in: Oil milling
c100__3       347      2   .054755     0     1  owner of this business ever engaged in: Oilcake trading
c100__4       347      2  .0288184     0     1  owner of this business ever engaged in: Dhall manufacturing
c100__5       347      1         0     0     0  owner of this business ever engaged in: Noodle manufacturing
c100__6       347      1         0     0     0  owner of this business ever engaged in: Pulse flour milling
c100__7       347      1         0     0     0  owner of this business ever engaged in: Bean Cake manufacturing
c100__8       347      1         0     0     0  owner of this business ever engaged in: Pulses byproducts trading
c100__99      347      2  .0115274     0     1  owner of this business ever engaged in: Other activity related to pulses or oils
c101a         342     44  2000.009  1940  2017  C101a. In what year did the owner of this business first engage in Pulses/oilsee
c102a         344      2  1.002907     1     2  C102a. Does the owner of this business enagage in Pulses/oilseed trading at pres
c103a           1      1      2016  2016  2016  Year stopped pulse/oilseed trade
c104a__1        1      1         0     0     0  Reason stopped pulse/oilseed trade: Insufficient local demand for product
c104a__2        1      1         0     0     0  Reason stopped pulse/oilseed trade: Couldn't compete with imported products
c104a__3        1      1         0     0     0  Reason stopped pulse/oilseed trade: Couldn't compete with local products from bi
c104a__4        1      1         0     0     0  Reason stopped pulse/oilseed trade: Couldn't meet quality standards
c104a__5        1      1         0     0     0  Reason stopped pulse/oilseed trade: Insufficient access to capital
c104a__6        1      1         0     0     0  Reason stopped pulse/oilseed trade: Made big loss
c104a__7        1      1         1     1     1  Reason stopped pulse/oilseed trade: Other
c104a1          0      0         .     .     .  C104a1. Please specify the other...
c105a         345     15   93.7971     0   100  share of annual income from Pulse/oilseed trade among related activities
c101b          22     16  2002.682  1970  2016  C101b. In what year did the owner of this business first engage in Oil milling?
c102b          22      2  1.227273     1     2  C102b. Does the owner of this business enagage in Oil milling at present?
c103b           5      4    2013.2  2008  2016  Year stopped oil milling
c104b__1        5      2        .6     0     1  Reason stopped oil milling: Insufficient local demand for product
c104b__2        5      2        .2     0     1  Reason stopped oil milling: Could not compete with imported products
c104b__3        5      1         0     0     0  Reason stopped oil milling: Couldn't compete with local products from big enterp
c104b__4        5      1         0     0     0  Reason stopped oil milling: Could not meet quality standards
c104b__5        5      1         0     0     0  Reason stopped oil milling: Insufficient access to capital
c104b__6        5      1         0     0     0  Reason stopped oil milling: Made big loss
c104b__7        5      2        .2     0     1  Reason stopped oil milling: Other
c104b1          0      0         .     .     .  C104b1. Please specify the other...
c105b         345      9  1.710145     0    70  share of annual income from Oil Milling among related activities
c101c          19     14  2001.421  1980  2015  C101c. In what year did the owner of this business first engage in Oilcake tradi
c102c          19      1         1     1     1  C102c. Does the owner of this business enagage in Oilcake trading at present?
c103c           0      0         .     .     .  Year stopped oilcake trading
c104c__1        0      0         .     .     .  Reason stopped oilcake trading: Insufficient local demand for product
c104c__2        0      0         .     .     .  Reason stopped oilcake trading: Couldn't compete with imported products
c104c__3        0      0         .     .     .  Reason stopped oilcake trading: Couldn't compete with local products from big en
c104c__4        0      0         .     .     .  Reason stopped oilcake trading: Couldn't meet quality standards
c104c__5        0      0         .     .     .  Reason stopped oilcake trading: Insufficient access to capital
c104c__6        0      0         .     .     .  Reason stopped oilcake trading: Made big loss
c104c__7        0      0         .     .     .  Reason stopped oilcake trading: Other
c104c1          0      0         .     .     .  C104c1. Please specify the other...
c105c         345      7  .7826087     0    50  share of annual income from Oilcake trading among related activities
c101d          10      7    2003.3  1957  2016  C101d. In what year did the owner of this business first engage in Dhall manufac
c102d          10      2       1.1     1     2  C102d. Does the owner of this business enagage in Dhall manufacturing at present
c103d           1      1      2017  2017  2017  Year stopped dahl processing
c104d__1        1      1         0     0     0  Reason stopped dahl processing: Insufficient local demand for product
c104d__2        1      1         0     0     0  Reason stopped dahl processing: Couldn't compete with imported products
c104d__3        1      1         0     0     0  Reason stopped dahl processing: Couldn't compete with local products from big en
c104d__4        1      1         0     0     0  Reason stopped dahl processing: Couldn't meet quality standards
c104d__5        1      1         0     0     0  Reason stopped dahl processing: Insufficient access to capital
c104d__6        1      1         0     0     0  Reason stopped dahl processing: Made big loss
c104d__7        1      1         1     1     1  Reason stopped dahl processing: Other
c104d1          0      0         .     .     .  C104d1. Please specify the other...
c105d         345      8  1.550725     0   100  share of annual income from Dhall manufacture among related activities
c101e           0      0         .     .     .  C101e. In what year did the owner of this business first engage in Noodle manufa
c102e           0      0         .     .     .  C102e. Does the owner of this business enagage in Noodle manufacturing at presen
c103e           0      0         .     .     .  Year stopped moodle production
c104e__1        0      0         .     .     .  Reason stopped noodle production: Insufficient local demand for product
c104e__2        0      0         .     .     .  Reason stopped noodle production: Couldn't compete with imported products
c104e__3        0      0         .     .     .  Reason stopped noodle production: Couldn't compete with local products from big
c104e__4        0      0         .     .     .  Reason stopped noodle production: Couldn't meet quality standards
c104e__5        0      0         .     .     .  Reason stopped noodle production: Insufficient access to capital
c104e__6        0      0         .     .     .  Reason stopped noodle production: Made big loss
c104e__7        0      0         .     .     .  Reason stopped noodle production: Other
c104e1          0      0         .     .     .  C104e1. Please specify the other...
c105e         345      1         0     0     0  share of annual income from Noodle manufacture among related activities
c101f           0      0         .     .     .  C101f. In what year did the owner of this business first engage in Pulse flour m
c102f           0      0         .     .     .  C102f. Does the owner of this business enagage in Pulse flour milling at present
c103f           0      0         .     .     .  Year stopped pulse flour milling
c104f__1        0      0         .     .     .  Reason stopped pulse flour milling: Insufficient local demand for product
c104f__2        0      0         .     .     .  Reason stopped pulse flour milling: Couldn't compete with imported products
c104f__3        0      0         .     .     .  Reason stopped pulse flour milling: Couldn't compete with local products from bi
c104f__4        0      0         .     .     .  Reason stopped pulse flour milling: Couldn't meet quality standards
c104f__5        0      0         .     .     .  Reason stopped pulse flour milling: Insufficient access to capital
c104f__6        0      0         .     .     .  Reason stopped pulse flour milling: Made big loss
c104f__7        0      0         .     .     .  Reason stopped pulse flour milling: Other
c104f1          0      0         .     .     .  C104f1. Please specify the other...
c105f         345      1         0     0     0  share of annual income from Pulse flour milling among related activities
c101g           0      0         .     .     .  C101g. In what year did the owner of this business first engage in Bean Cake man
c102g           0      0         .     .     .  C102g. Does the owner of this business enagage in Bean Cake manufacturing at pre
c103g           0      0         .     .     .  Year stopped bean cake production
c104g__1        0      0         .     .     .  Reason stopped bean cake production: Insufficient local demand for product
c104g__2        0      0         .     .     .  Reason stopped bean cake production: Couldn't compete with imported products
c104g__3        0      0         .     .     .  Reason stopped bean cake production: Couldn't compete with local products from b
c104g__4        0      0         .     .     .  Reason stopped bean cake production: Couldn't meet quality standards
c104g__5        0      0         .     .     .  Reason stopped bean cake production: Insufficient access to capital
c104g__6        0      0         .     .     .  Reason stopped bean cake production: Made big loss
c104g__7        0      0         .     .     .  Reason stopped bean cake production: Other
c104g1          0      0         .     .     .  C104g1. Please specify the other...
c105g         345      1         0     0     0  share of annual income from Bean Cake manufacture among related activities
c101h           0      0         .     .     .  C101h. In what year did the owner of this business first engage in Pulses byprod
c102h           0      0         .     .     .  C102h. Does the owner of this business enagage in Pulses byproducts trading at p
c103h           0      0         .     .     .  Year stopped pulse byproduct production
c104h__1        0      0         .     .     .  Reason stopped pulse byproduct production: Insufficient local demand for product
c104h__2        0      0         .     .     .  Reason stopped pulse byproduct production: Couldn't compete with imported produc
c104h__3        0      0         .     .     .  Reason stopped pulse byproduct production: Couldn't compete with local products
c104h__4        0      0         .     .     .  Reason stopped pulse byproduct production: Couldn't meet quality standards
c104h__5        0      0         .     .     .  Reason stopped pulse byproduct production: Insufficient access to capital
c104h__6        0      0         .     .     .  Reason stopped pulse byproduct production: Made big loss
c104h__7        0      0         .     .     .  Reason stopped pulse byproduct production: Other
c104h1          0      0         .     .     .  C104h1. Please specify the other...
c105h         345      1         0     0     0  share of annual income from Pulses byproducts trade among related activities
share_income  345      8  97.84058    10   100  Share income
c106__1       344      2  .8139535     0     1  Trading crops at present:Peanut
c106__2       344      2  .8052326     0     1  Trading crops at present:Sesame
c106__3       344      2  .6133721     0     1  Trading crops at present:Green Gram
c106__4       344      2  .4709302     0     1  Trading crops at present:Black Gram
c106__5       344      2  .5290698     0     1  Trading crops at present:Chick Pea
c106__6       344      2  .6569767     0     1  Trading crops at present:Pigeon Pea
c106__7       344      2  .1162791     0     1  Trading crops at present:Sunflower
c106__8       344      2  .0639535     0     1  Trading crops at present:Canola/mustard
c106__9       344      2  .1104651     0     1  Trading crops at present:Niger
c106__10      344      2  .1569767     0     1  Trading crops at present:Kidney bean
c106__11      344      2   .252907     0     1  Trading crops at present:Butter bean
c106__12      344      2  .1947674     0     1  Trading crops at present:Rice bean
c106__13      344      2  .2732558     0     1  Trading crops at present:Lablab bean
c106__14      344      2  .1046512     0     1  Trading crops at present:Wheat
c106__15      344      2  .2383721     0     1  Trading crops at present:Other 1 (Specify)
c106__16      344      2  .0436047     0     1  Trading crops at present:Other 2 (Specify)
c109          343     12  3.819242     1    15  Most important crop in 2017
c111__1       315      2  .7714286     0     1  Trading crops in 2011:Peanut
c111__2       315      2  .7714286     0     1  Trading crops in 2011:Sesame
c111__3       315      2  .5904762     0     1  Trading crops in 2011:Green Gram
c111__4       315      2  .3777778     0     1  Trading crops in 2011:Black Gram
c111__5       315      2  .5079365     0     1  Trading crops in 2011:Chick Pea
c111__6       315      2  .6285714     0     1  Trading crops in 2011:Pigeon Pea
c111__7       315      2  .1111111     0     1  Trading crops in 2011:Sunflower
c111__8       315      2  .0603175     0     1  Trading crops in 2011:Canola/mustard
c111__9       315      2  .0984127     0     1  Trading crops in 2011:Niger
c111__10      315      2  .1206349     0     1  Trading crops in 2011:Kidney bean
c111__11      315      2  .2190476     0     1  Trading crops in 2011:Butter bean
c111__12      315      2   .152381     0     1  Trading crops in 2011:Rice bean
c111__13      315      2  .2190476     0     1  Trading crops in 2011:Lablab bean
c111__14      315      2  .0984127     0     1  Trading crops in 2011:Wheat
c111__15      315      2  .1873016     0     1  Trading crops in 2011:Other 1 (Specify)
c111__16      315      2  .0380952     0     1  Trading crops in 2011:Other 2 (Specify)
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_c_crops_2012_roster.csv

Variable       Obs Unique      Mean  Min      Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~d  1541    312         .    .        .  InterviewId
interview_~y  1541    312         .    .        .  
crops_2012~d  1541     16  5.459442    1       16  crop id from c111
c112a         1541    111  14376.79    5  1500000  C112a. What quantity of %crops_2012% did this business buy in 2012?
c112a1        1541      5  3.545101    1       99  c112a1. Unit ...
c112a3         241     39  13767.47    0   700000  qty of peanut with shell in 2012
c112a4         241     51  22541.33    0  1500000  qty of peanut without shell in 2012
c112b          241     19  45.87967    0      100  share of peanut traded in 2012 was Red
c112c          241     21  52.81328    0      100  share of peanut traded in 2012 was White
c112d          241      8  1.493776    0       85  share of peanut traded in 2012 was Other colors
share_p~2012   247      2  99.97976   95      100  total share of peanut
c112e          241     18  47.92116    0      100  share of Sesame traded in 2012 was Black
c112f          241     18   36.3527    0      100  share of Sesame traded in 2012 was White
c112g          241     18  15.74689    0      100  share of Sesame traded in 2012 was Other colors
share_s~2012   241      2  100.0207  100      105  total share of sesame
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_c_crops_2017_roster.csv

Variable       Obs Unique      Mean  Min      Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~d  1851    342         .    .        .  InterviewId
interview_~y  1851    342         .    .        .  
crops_2017~d  1851     16  5.690978    1       16  crop id from c106
c107a         1851    130  12818.52    5  1500000  C107a. What quantity of %crops_2017% did this business buy in the last 12 months
c107a1        1851      5  3.354943    1       99  c107a1. Unit ...
c107a3         279     45     14250    0   750000  qty of peanut with shell in 2017
c107a4         279     61  23102.54    0  1500000  qty of peanut without shell in 2017
c107b          279     20  45.78495    0      100  share of peanut traded in 2017 was Red
c107c          279     20  52.11828    0      100  share of peanut traded in 2017 was White
c107d          279     11   2.34767    0      100  share of peanut traded in 2017 was Other colors
share_peanut   279      1       100  100      100  total share of peanut
c107e          273     22  59.34799    0      100  share of Sesame traded in 2017 was Black
c107f          273     18  26.70696    0      100  share of Sesame traded in 2017 was White
c107g          273     20  13.94505    0      100  share of Sesame traded in 2017 was Other colors
share_sesame   273      1       100  100      100  total share of sesame
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_d_Asset_roster.csv

Variable       Obs Unique      Mean   Min   Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~y  2651    346         .     .     .  
interview_~d  2651    346         .     .     .  InterviewId
Asset__id     2651     18  9.658619     1    20  Asset__id based on d113
d114          2651      7  2.083365     1     8  D114.How many of %Asset% are owned by this trading business at present?
d115          2583     44  2008.702  1920  2017  D115.When was %n_assets% of %Asset% purchased?
d116          2589    202  14.51222     0  3000  D116.How much did %n_assets% of %Asset% cost in %d115%? Lakh Kyat...
d117          2651      2  1.994719     1     2  D117. Did you borrow money to purchase %n_assets% of %Asset%?
d117a__1        14      1         0     0     0  type of loan: Hire purchase agreement with bank, organized by vehicle or machine
d117a__2        14      2  .2142857     0     1  type of loan: Hire purchase agreement made with vehicle or machine supplier
d117a__3        14      2  .1428571     0     1  type of loan: Loan from bank
d117a__4        14      2  .6428571     0     1  type of loan: Loan from informal source
d117b         2651      2  1.995851     1     2  D117b. Did you use remittances to pay for all or part of the cost of %n_assets%
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_d_business_assets_and_costs.csv

Variable      Obs Unique      Mean  Min    Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~y  347    347         .    .      .  
interview_~d  347    347         .    .      .  
d100__1       346      2  .3583815    0      1  types of premises:Warehouse
d100__2       346      2  .5086705    0      1  types of premises:Wholesale shop
d100__3       346      2  .0086705    0      1  types of premises:Retail shop
d100__4       346      1         0    0      0  types of premises:Combined wholesale and retail shop
d100__5       346      2  .3901734    0      1  types of premises:Combined warehouse and wholesale shop
d112          242      2  1.809917    1      2  D112. Within the last 12 months, was there ever a time when you had insufficient
d113__truck   347      2  .1786744    0      1  assets the business own for use at present: truck
d113__4       339      2  .0914454    0      1  assets the business own for use at present: Trawlerjee/tractor
d113__5       339      2  .0766962    0      1  assets the business own for use at present: Tuk Tuk
d113__6       341      2  .7624633    0      1  assets the business own for use at present: Motorcycle
d113__7       332      1         0    0      0  assets the business own for use at present: Oxcart
d113__8       346      2  .9450867    0      1  assets the business own for use at present: Electronic scale
d113__9       340      2  .3970588    0      1  assets the business own for use at present: Manual scale
d113__10      340      2  .3794118    0      1  assets the business own for use at present: Landline phone
d113__11      347      2  .8962536    0      1  assets the business own for use at present: Mobile phone
d113__12      335      2   .041791    0      1  assets the business own for use at present: Peanut Threshing machine
d113__13      335      2  .0656716    0      1  assets the business own for use at present: Sesame Cleaning machine
d113__14      334      2   .002994    0      1  assets the business own for use at present: Color sorting machine
d113__15      343      2  .7113703    0      1  assets the business own for use at present: Bagging machine
d113__16      336      2  .0684524    0      1  assets the business own for use at present: Computer
d113__17      339      2   .300885    0      1  assets the business own for use at present: Generator
d113__18      327      2  .0122324    0      1  assets the business own for use at present: Other asset(1)
d113__19      325      1         0    0      0  assets the business own for use at present: Other asset(2)
d113__20      323      2   .003096    0      1  assets the business own for use at present: Other asset(3)
d113a           0      0         .    .      .  Other Asset 1 Used for Trading Business
d113b           0      0         .    .      .  Other Asset 2 Used for Trading Business
d113c           0      0         .    .      .  Other Asset 3 Used for Trading Business
d120          279     57  16278.69   .1  90000  average monthly expenditure on fuel and repairs for all motor vehicles in 2017
d120a         284      2  1.461268    1      2  D120a. MMK or Lakh Kyat ?
d121          133     37  10997.94   .1  80000  average monthly expenditure on fuel for all generators/engine powered machines i
d121a         251      3  1.227092    1      3  D121a. MMK or Lakh Kyat ?
d122          347     74  15276.91   .1  90000  average monthly expenditure on electricity for all premises in 2017
d122a         347      2   1.21902    1      2  D122a. MMK or Lakh Kyat ?
d123          347      2  1.553314    1      2  D123. How many people work full-time in this trading business?
d124          155     14  2.832258    0     30  D124. How many MALE work fulltime in this trading business?
d124a         143      5  .2307692    0      4  D124a. Of these MALE how many are family members?
d125          155      8   .716129    0     20  D125. How many FEMALE work full-time in this trading business?
d125a          48      3     .1875    0      2  D125a. Of these FEMALE how many are family members?
d126          155     41  875.8964   .5  70000  average monthly cost of employing full-time staff(including all salaries, wages,
d126a         155      2  1.974194    1      2  D126a. MMK or Lakh Kyat ?
d127          347      2  1.792507    1      2  the trading business make use of any rented vehicles within the last 12 months
d128           66     30  3613.573   .7  75000  total average monthly cost of vehicle rentals and other associated costs(fuel, l
d128a          72      2  1.819444    1      2  D128a. MMK or Lakh Kyat ?
d129          333     42  410.4565    4  15000  how much working captial you need to run your business for one week during 2017
d130          297     41  264.3131    2   5000  how much working captial you need to run your business for one week during 2012
d131          347      2  1.691643    1      2  D131. Have you ever borrowed money from a bank to fund your operating costs?
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_d_premise_roster.csv

Variable      Obs Unique      Mean   Min    Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~y  497    346         .     .      .  
interview_~d  497    346         .     .      .  InterviewId
premise__id   497      4  2.513078     1      5  premise__id based on d100
d101          497      4  1.289738     1      4  number of premises
d102a           0      0         .     .      .  D102a. Please specify other...
d105          457     48  2001.341  1920   2017  acquired year
d104          495      4  3.206061     1     99  Type of Ownership
d106          246     96  329.5979   .02  27000  purchased price
d107           84     24  14.35833     0     60  D107. Annual rental cost of premises (Lakh Kyat)
d109_rev      308      4  2.863636     1      4  Maximum number of sacks that can be stored in the buildings in 2012
d111_rev      232      4  2.931034     1      4  RECODE of d111 (Maximum number of sacks that could be stored in the buildings in
------------------------------------------------------------------------------------------------------------------------------------------------
Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_e_agent_roster.csv

Variable      Obs Unique      Mean  Min  Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~d   38     29         .    .    .  InterviewId
interview_~y   38     29         .    .    .  
agent__id      38      6  2.447368    1    6  agent id based on e105
e108           38      6  .7744737  .05    2  % to charge as a commission on each transaction
e106_rev       38      2  1.447368    1    2  Number of companies you act as an agent for
------------------------------------------------------------------------------------------------------------------------------------------------
Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_e_categorize_roster.csv

Variable      Obs Unique      Mean   Min    Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~d  170    137         .     .      .  InterviewId
interview_~y  170    137         .     .      .  
categorize~d  170      3  2.182353     1      3  categorize__id based on e136
e137          170      3  1.223529     1      3  E137. How is commodity categorizing (sorting) done?
e138          159      4  98.74214    25    100  E138. What share of the commodity that you trade undergoes categorizing?
e138a          11      4  41.81818    20     70  E138a. What share of the commodity that you trade undergoes manual categorizing?
e138b          11      4  58.18182    30     80  E138b. What share of the commodity that you trade undergoes machine categorizing
share_e137    170      2  6.470588     0    100  
e139           84     22   2058.81    50  20000  E139. What is the difference in average sales value between manual and machine c
e139a         128      1         1     1      1  E139a. MMK or Lakh Kyat ?
e139b         128      5   2.71875     1      5  E139b. Unit ...
e140          168     37  2002.083  1962   2017  E140. When did you begin categorizing?
------------------------------------------------------------------------------------------------------------------------------------------------
Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_e_sample_commodity.csv

Variable      Obs Unique      Mean   Min     Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~y  347    347         .     .       .  
interview_~d  347    347         .     .       .  
e178a         347      2  1.417867     1       2  Were there any months in which the respondent's business did not trade c109
e178b__1      202      2   .509901     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__2      202      2   .450495     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__3      202      2  .4455446     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__4      202      2  .4851485     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__5      202      2   .539604     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__6      202      2  .5940594     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__7      202      2  .6732673     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__8      202      2  .6584158     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__9      202      2  .6831683     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__10     202      2  .6534653     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__11     202      2  .5891089     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
e178b__12     202      2   .549505     0       1  E178b. The respondent's business did not trade %c109%in which of the past 12 mon
not_tra~178b  202     11  6.811881     0      11  # of months not trade in 2017
e178__1       282      2  .2978723     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:January
e178__2       282      2  .3829787     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:February
e178__3       282      2  .4397163     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:March
e178__4       282      2  .4042553     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:April
e178__5       282      2  .2907801     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:May
e178__6       282      2   .212766     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:June
e178__7       282      2  .1524823     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:July
e178__8       282      2  .1914894     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:August
e178__9       282      2  .2234043     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:September
e178__10      282      2  .2340426     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:October
e178__11      282      2  .2375887     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:November
e178__12      282      2  .2553191     0       1  E178. Which of the past 12 months were HIGH season for trading %c109%?:December
high_season   282     12  3.322695     1      12  # of months in High Season
e179          282     12  25.09574     7      30  days per month the business procured c109 during the most recent high seasons
e180          282     46   446.617   1.5   10000  daily quantity of c109 the business procured during the most recent high season
e180a         282      5  3.397163     1      99  E180a. Unit ...
e181          282     92  22264.58   .82   90000  average price paid for c109 during the most recent high season
e181a         282      2  1.060284     1       2  E181a. MMK or Lakh Kyat ?
e181b         282      4  3.010638     1       4  E181b. Per ...
e1811         282     90  27231.54   1.1  120000  max price paid for c109 during the most recent high season
e1812         282     94  18828.97   .75   85000  min price paid for c109 during the most recent high season
e182          243      9  25.39095    10      30  days per month the business procured c109 during the 2012 high season
e183          243     46  405.2743     2    8000  daily quantity of c109 the business procured during the 2012 high season
e183a         255      5  3.890196     1      99  E183a. Unit ...
e184__1       112      2        .5     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:January
e184__2       112      2  .3928571     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:February
e184__3       112      2  .2946429     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:March
e184__4       112      2     .3125     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:April
e184__5       112      2  .4642857     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:May
e184__6       112      2  .5089286     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:June
e184__7       112      2     .5625     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:July
e184__8       112      2  .4910714     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:August
e184__9       112      2  .4285714     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:September
e184__10      112      2  .4285714     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:October
e184__11      112      2  .4464286     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:November
e184__12      112      2        .5     0       1  E184. Which of the past 12 months were LOW season for trading %c109%?:December
low_season    112     11  5.330357     1      11  # of months in Low Season
e185          112     16   18.0625     3      30  days per month the business procured c109 during the most recent low season
e186          112     29  144.9286     2    2500  daily quantity of c109 the business procured during the most recent low season
e186a         112      4    2.8125     1       4  E186a. Unit ...
e187          111     64   20688.1  1.15   75000  average price paid for c109 during the most recent low season
e187a         112      2  1.026786     1       2  E187a. MMK or Lakh Kyat ?
e187b         112      4  3.080357     1       4  E187b. Per ...
e1877         111     60  24509.24  1.15   90000  max price paid for c109 during the most recent low season
e1878         111     58  17602.96     1   60000  min price paid for c109 during the most recent low season
e188          100     11     19.06     3      30  days per month the business procured c109 during the 2012 low season
e189          100     26    170.78     2    2000  daily quantity of c109 the business procured during the 2012 low season
e189a         105      5  4.590476     1      99  E189a. Unit ...
e191          182     14  20.84615     2      30  days per month the business procured c109 during the most recent intermediate se
e192          182     42   212.033     2    5000  daily quantity of c109 the business procured during the most recent intermediate
e192a         183      5  4.737705     1      99  E192a. Unit ...
e193          182     71  18588.94    .7   90000  average price paid for c109 during the most recent intermediate season
e193a         183      2  1.076503     1       2  E193a. MMK or Lakh Kyat ?
e193b         183      4  2.765027     1       4  E193b. Per ...
e1933         182     71  22367.57   .78  100000  max price paid for c109 during the most recent intermediate season
e1934         182     78  15756.39   .28   85000  min price paid for c109 during the most recent intermediate season
e194          165     10  21.60606     1      30  days per month the business procured c109 during the 2012 intermediate seasons
e195          161     37  201.1366     3    5000  daily quantity of c109 the business procured during the 2012 intermediate season
e195a         169      5  5.408284     1      99  E195a. Unit ...
e100__1       346      2  .2630058     0       1  trade ways in 2017: Wholesaler
e100__2       346      2   .083815     0       1  trade ways in 2017: Agent
e100__3       346      2   .716763     0       1  trade ways in 2017: Broker
e100__4       346      2  .0231214     0       1  trade ways in 2017: Retailer
e100__5       346      2  .0057803     0       1  trade ways in 2017: Exporter
e100__6       346      1         0     0       0  trade ways in 2017: Importer
e100__99      346      2   .017341     0       1  trade ways in 2017: Other
e101a         343     13  22.59475     0     100  share of quantity traded c109 in 2017 as a Wholesaler
e101b         343      9  6.326531     0     100  share of quantity traded c109 in 2017 as a Agent
e101c         343     15  66.54519     0     100  share of quantity traded c109 in 2017 as a Broker
e101c1        247     14  1.784818   .05      30  % charging each transaction when traded as a broker
e101d         343      3   2.12828     0     100  share of quantity traded c109 in 2017 as a Retailer
e101e         343      2  .5830904     0     100  share of quantity traded c109 in 2017 as a Exporter
e101f         343      1         0     0       0  share of quantity traded c109 in 2017 as a Importer
e102__1       314      2  .2770701     0       1  trade ways in 2012: Wholesaler
e102__2       314      2  .0859873     0       1  trade ways in 2012: Agent
e102__3       314      2  .7006369     0       1  trade ways in 2012: Broker
e102__4       314      2  .0254777     0       1  trade ways in 2012: Retailer
e102__5       314      2  .0063694     0       1  trade ways in 2012: Exporter
e102__6       314      1         0     0       0  trade ways in 2012: Importer
e102__7       261      2  .0153257     0       1  NA (if they don't trade major crop of 2017 in 2012)
e102__99      314      2  .0159236     0       1  trade ways in 2012: Other
e103a         307     14  23.97394     0     100  share of quantity traded c109 in 2012 as a Wholesaler
e103b         307     13  5.960912     0     100  share of quantity traded c109 in 2012 as a Agent
e103c         307     13  66.05863     0     100  share of quantity traded c109 in 2012 as a Broker
e103d         307      3   2.37785     0     100  share of quantity traded c109 in 2012 as a Retailer
e103e         307      2  .6514658     0     100  share of quantity traded c109 in 2012 as a Exporter
e103f         307      1         0     0       0  share of quantity traded c109 in 2012 as a Importer
e104a          91     29  2002.374  1976    2016  E104a. In which year did you first begin trading as Wholesaler?
e104b          29     15  2002.724  1987    2014  E104b. In which year did you first begin trading as Agent?
e104c         247     39  2000.551  1920    2017  E104c. In which year did you first begin trading as Broker?
e104d           8      7  1993.875  1957    2009  E104d. In which year did you first begin trading as Retailer?
e104e           2      1      2002  2002    2002  E104e. In which year did you first begin trading as Exporter?
e104f           0      0         .     .       .  E104f. In which year did you first begin trading as Importer?
e105__1        29      2  .3448276     0       1  type of business do you act as an agent for: Exporter
e105__2        29      2  .4137931     0       1  type of business do you act as an agent for: Wholesaler in local urban area
e105__3        29      2  .3793103     0       1  type of business do you act as an agent for: Wholesaler in distant urban area
e105__4        29      2  .0344828     0       1  type of business do you act as an agent for: Oil mill
e105__5        29      2  .0689655     0       1  type of business do you act as an agent for: Other food processing business
e105__6        29      2  .0689655     0       1  type of business do you act as an agent for: Other
e113a           2      1         0     0       0  E113a. What share of the %c109% that you exported in 2012 was sold to India?%
e113c           2      1         0     0       0  E113c. What share of the %c109% that you exported in 2012 was sold to Thailand?%
e113b           2      1       100   100     100  E113b. What share of the %c109% that you exported in 2012 was sold to China?%
e113d           2      1         0     0       0  E113d. What share of the %c109% that you exported in 2012 was sold to Japan?%
e113e           2      1         0     0       0  E113e. What share of the %c109% that you exported in 2012 was sold to Europe?%
e113f           2      1         0     0       0  E113f. What share of the %c109% that you exported in 2012 was sold to Singapore?
e114__1       347      2  .3429395     0       1  In 2017 did you buy from Traders at local commodity exchange center
e114__2       347      2   .054755     0       1  In 2017 did you buy from Traders at commodity exchange center in another city
e114__3       347      2  .0288184     0       1  In 2017 did you buy from Local urban traders, outside commodity exchange center
e114__4       347      2  .0115274     0       1  In 2017 did you buy from Urban traders in another city outside CEC
e114__5       347      2  .0432277     0       1  In 2017 did you buy from Traders located in rural areas
e114__6       347      2  .7348703     0       1  In 2017 did you buy from Farmers (directly)
e114__7       347      2  .0662824     0       1  In 2017 did you buy from Farmers (indirecty through own agent)
e114__8       347      2  .0115274     0       1  In 2017 did you buy from Urban traders (indirectly through own agent)
e114__9       347      2  .0317003     0       1  In 2017 did you buy from Own production
e114__99      347      2  .0057637     0       1  In 2017 did you buy from Other
e115a         347     16  24.23631     0     100  share of purchases of c109 in 2017 was from at local CEC
e115b         347      8   3.70317     0     100  share of purchases of c109 in 2017 was from Traders at CEC in another city
e115c         347      8  1.123919     0     100  share of purchases of c109 in 2017 was from Local urban traders, outside CEC
e115d         347      5  .4034582     0      90  share of purchases of c109 in 2017 was from Urban traders in another city outsid
e115e         347     10  2.233429     0     100  share of purchases of c109 in 2017 was from Traders located in rural areas
e115f         347     19  62.43804     0     100  share of purchases of c109 in 2017 was from Farmers (directly)
e115g         347      8  4.394813     0     100  share of purchases of c109 in 2017 was from Farmers (indirecty through own agent
e115h         347      5  .7060519     0     100  share of purchases of c109 in 2017 was from Urban traders (indirectly through ow
e115i         347      6  .3285303     0      40  share of purchases of c109 in 2017 was from Own production
e115j         347      3  .4034582     0     100  share of purchases of c109 in 2017 was from e114c
e117__1       313      2  .3067093     0       1  In 2012 did you buy from Traders at local commodity exchange center
e117__2       313      2   .057508     0       1  In 2012 did you buy from Traders at commodity exchange center in another city
e117__3       313      2   .028754     0       1  In 2012 did you buy from Local urban traders, outside commodity exchange center
e117__4       313      2  .0063898     0       1  In 2012 did you buy from Urban traders in another city outside CEC
e117__5       313      2  .0479233     0       1  In 2012 did you buy from Traders located in rural areas
e117__6       313      2  .7092652     0       1  In 2012 did you buy from Farmers (directly)
e117__7       313      2  .0670927     0       1  In 2012 did you buy from Farmers (indirecty through own agent)
e117__8       313      2  .0063898     0       1  In 2012 did you buy from Urban traders (indirectly through own agent)
e117__9       313      2   .028754     0       1  In 2012 did you buy from Own production
e117__10      286      2   .027972     0       1  Not Applicable ( if they don't trade major crop of 2017 in 2012)
e117__99      313      2  .0095847     0       1  In 2012 did you buy from Other
e118a         305     15   21.5082     0     100  share of purchases of c109 in 2012 was from at local CEC
e118b         305      8  4.081967     0     100  share of purchases of c109 in 2012 was from Traders at CEC in another city
e118c         305      8  1.557377     0     100  share of purchases of c109 in 2012 was from Local urban traders, outside CEC
e118d         305      3  .1147541     0      25  share of purchases of c109 in 2012 was from Urban traders in another city outsid
e118e         305      7  2.786885     0     100  share of purchases of c109 in 2012 was from Traders located in rural areas
e118f         305     18  63.94754     0     100  share of purchases of c109 in 2012 was from Farmers (directly)
e118g         305      8  4.819672     0     100  share of purchases of c109 in 2012 was from Farmers (indirecty through own agent
e118h         305      3   .295082     0      60  share of purchases of c109 in 2012 was from Urban traders (indirectly through ow
e118i         305      5  .3311475     0      40  share of purchases of c109 in 2012 was from Own production
e118j         306      3  .4901961     0     100  share of purchases of c109 in 2012 was from e117c
e136__1       346      2  .0809249     0       1  E136. Do you do any of the following with %c109%?:Sorting and separating by colo
e136__2       346      2  .2398844     0       1  E136. Do you do any of the following with %c109%?:Sorting and separating by qual
e136__3       346      2  .1705202     0       1  E136. Do you do any of the following with %c109%?:Cleaning
e136__4       346      1         0     0       0  E136. Do you do any of the following with %c109%?:Polishing
e136__5       346      2  .6040462     0       1  E136. Do you do any of the following with %c109%?:None of the above
e141           17      5  12.94118     0     100  share of c109 traded during 2017 was used for oil milling
e142            9      4  49.44444     0     100  share of c109 traded during 2017 was used for dhall manufacturing
e143__1         8      2       .25     0       1  what did with the dhall produced: Sold retailers/consumers locally
e143__2         8      1         0     0       0  what did with the dhall produced: Sold retailers/consumers in other locations
e143__3         8      2        .5     0       1  what did with the dhall produced: Sold to wholesalers locally
e143__4         8      2      .375     0       1  what did with the dhall produced: Sold to wholesalers in other locations
e143__5         8      1         0     0       0  what did with the dhall produced: Exported
e143__6         8      1         0     0       0  what did with the dhall produced: Sold to supermarket
e143__7         8      2        .5     0       1  what did with the dhall produced: Other
e145__1         0      0         .     .       .  Noodle produced was: Sold retailers/consumers locally
e145__2         0      0         .     .       .  Noodle produced was: Sold retailers/consumers in other locations
e145__3         0      0         .     .       .  Noodle produced was: Sold to wholesalers locally
e145__4         0      0         .     .       .  Noodle produced was: Sold to wholesalers in other locations
e145__5         0      0         .     .       .  Noodle produced was: Exported
e145__6         0      0         .     .       .  Noodle produced was: Sold to supermarket
e145__7         0      0         .     .       .  Noodle produced was: Other
e147__1         0      0         .     .       .  Pulse flour produced was: Sold retailers/consumers locally
e147__2         0      0         .     .       .  Pulse flour produced was: Sold retailers/consumers in other locations
e147__3         0      0         .     .       .  Pulse flour produced was: Sold to wholesalers locally
e147__4         0      0         .     .       .  Pulse flour produced was: Sold to wholesalers in other locations
e147__5         0      0         .     .       .  Pulse flour produced was: Exported
e147__6         0      0         .     .       .  Pulse flour produced was: Sold to supermarket
e147__7         0      0         .     .       .  Pulse flour produced was: Other
e149__1         0      0         .     .       .  Tofu produced was: Sold retailers/consumers locally
e149__2         0      0         .     .       .  Tofu produced was: Sold retailers/consumers in other locations
e149__3         0      0         .     .       .  Tofu produced was: Sold to wholesalers locally
e149__4         0      0         .     .       .  Tofu produced was: Sold to wholesalers in other locations
e149__5         0      0         .     .       .  Tofu produced was: Exported
e149__6         0      0         .     .       .  Tofu produced was: Sold to supermarket
e149__7         0      0         .     .       .  Tofu produced was: Other
e150__1       346      2  .8323699     0       1  sold c109 in 2017 to Traders at local commodity exchange center
e150__2       346      2  .1763006     0       1  sold c109 in 2017 to Traders at commodity exchange center in another city
e150__3       346      2  .0260116     0       1  sold c109 in 2017 to Local urban traders, outside commodity exchange center
e150__4       346      2  .0260116     0       1  sold c109 in 2017 to Urban traders in another city, outside commodity exchange c
e150__5       346      2  .0346821     0       1  sold c109 in 2017 to Local urban retailers
e150__6       346      2  .0086705     0       1  sold c109 in 2017 to Urban retailers in another city
e150__7       346      2  .0028902     0       1  sold c109 in 2017 to Traders in rural areas
e150__8       346      2  .0231214     0       1  sold c109 in 2017 to Consumers
e150__9       346      2  .0462428     0       1  sold c109 in 2017 to Exporters
e150__10      346      2   .017341     0       1  sold c109 in 2017 to Buyers from China
e150__11      346      2  .0028902     0       1  sold c109 in 2017 to Buyers from India
e150__12      346      2  .0317919     0       1  sold c109 in 2017 to Oil mills
e150__13      346      2  .0057803     0       1  sold c109 in 2017 to Dhall manufacturers
e150__14      346      1         0     0       0  sold c109 in 2017 to Noodle manufacturers
e150__15      346      1         0     0       0  sold c109 in 2017 to Pulse flour millers
e150__99      346      2  .0317919     0       1  sold c109 in 2017 to Other
e154__1       312      2  .8044872     0       1  sold c109 in 2012 to Traders at local commodity exchange center
e154__2       312      2  .1730769     0       1  sold c109 in 2012 to Traders at commodity exchange center in another city
e154__3       312      2  .0224359     0       1  sold c109 in 2012 to Local urban traders, outside commodity exchange center
e154__4       312      2  .0352564     0       1  sold c109 in 2012 to Urban traders in another city, outside commodity exchange c
e154__5       312      2  .0352564     0       1  sold c109 in 2012 to Local urban retailers
e154__6       312      2  .0032051     0       1  sold c109 in 2012 to Urban retailers in another city
e154__7       312      2  .0032051     0       1  sold c109 in 2012 to Traders in rural areas
e154__8       312      2  .0224359     0       1  sold c109 in 2012 to Consumers
e154__9       312      2  .0384615     0       1  sold c109 in 2012 to Exporters
e154__10      312      2  .0128205     0       1  sold c109 in 2012 to Buyers from China
e154__11      312      1         0     0       0  sold c109 in 2012 to Buyers from India
e154__12      312      2  .0288462     0       1  sold c109 in 2012 to Oil mills
e154__13      312      2  .0128205     0       1  sold c109 in 2012 to Dhall manufacturers
e154__14      312      1         0     0       0  sold c109 in 2012 to Noodle manufacturers
e154__15      312      1         0     0       0  sold c109 in 2012 to Pulse flour millers
e154__16      261      2  .0268199     0       1  NA(if they don't sell major crop of 2017 in 2012)
e154__99      312      2  .0224359     0       1  sold c109 in 2012 to Other
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_e_seller_2017_roster.csv

Variable      Obs Unique      Mean  Min   Max  Label
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interview_~d  474    348         .    .     .  InterviewId
interview_~y  474    348         .    .     .  
seller_201~d  474     10  5.156118    1    99  seller id based on e114
e119__1       450      2  .1177778    0     1  Transport of commodity from source to premises: 12 wheel truck
e119__2       450      2  .4111111    0     1  Transport of commodity from source to premises: 6 wheel ruck
e119__3       450      2  .5244444    0     1  Transport of commodity from source to premises: 4-wheel truck
e119__4       450      2  .3044444    0     1  Transport of commodity from source to premises: Trawlerjee/tractor
e119__5       450      2       .26    0     1  Transport of commodity from source to premises: Tuk Tuk
e119__6       450      2  .0222222    0     1  Transport of commodity from source to premises: Motorcycle
e119__7       450      1         0    0     0  Transport of commodity from source to premises: Oxcart
e119__8       450      2  .0155556    0     1  Transport of commodity from source to premises: Boat
e119__9       450      2  .0088889    0     1  Transport of commodity from source to premises: Public bus
e119__99      450      2  .0377778    0     1  Transport of commodity from source to premises: Other
e119__10      450      2  .1355556    0     1  Transport of commodity from source to premises: Other
e120__1       389      2  .7994859    0     1  Terms of transport-source to premises: Provided by seller
e120__2       389      2  .0308483    0     1  Terms of transport-source to premises: Respondent's vehicle
e120__3       389      2  .0025707    0     1  Terms of transport-source to premises: Whole vehicle rented in & self-operated
e120__4       389      2  .1491003    0     1  Terms of transport-source to premises: Whole vehicle & driver rented from 3rd pa
e120__5       389      2  .0231362    0     1  Terms of transport-source to premises: Purchased space on a vehicle running a se
e120__6       389      1         0    0     0  Terms of transport-source to premises: Rented vehicle in cooperation with other
e120__99      389      1         0    0     0  Terms of transport-source to premises: Other
e121          389      3  1.827763    1     3  E121. In 2017  who paid the transport costs of commodity from source?
e122           71     26  322.3056   .7  6000  E122. How much were the transport costs paid by this business?
e122a          73      2  1.027397    1     2  E122a. MMK or Lakh Kyat ?
e122b          73      4  2.136986    1     5  E122b. Unit ...
e1222         447      2  1.899329    1     2  E1222. In 2017  who paid the bagging costs of commodity from source?
e1223          43      9        45    3   100  E1223. How much were the bagging costs paid by this business?
e1223a         45      1         1    1     1  E1223a. MMK or Lakh Kyat ?
e1223b         45      4  4.222222    1    99  E1223b. Unit ...
e1223c         12      2         .    .     .  other
e123          450      4  2.053333    1     4  E123. In 2017  who paid the loading costs of commodity from source
e124           49      9  61.26531    7   150  E124. How much were the loading costs paid by this business?
e124a          50      1         1    1     1  E124a. MMK or Lakh Kyat ?
e124b          50      3      2.02    1     4  E124b. Unit ...
e125          450      4  2.135556    1     4  E125. In 2017  who paid the unloading costs  of commodity from source?
e126          101     13  57.74257    5   250  E126. How much were the unloading costs paid by this business?
e126a         103      2  1.009709    1     2  E126a. MMK or Lakh Kyat ?
e126b         103      3   2.31068    1     4  E126b. Unit ...
e127          451      2  1.758315    1     2  Did you provide credit (in cash or kind) to seller in last 12 months?
e128          109     15  41.83486    3   100  Share of sellers in past 12 months that you provided credit to
e129          108     21   17.0787   .5   500  Average value of individual loans provided to sellers in the last 12 months
e130          108     10  2.953704    0    12  Average duration of loans provided to sellers during last 12 months
e130a         108      2  1.731481    1     2  Week or month
e131          109      2  1.678899    1     2  Any interest payable on loans provided to seller in last 12 months?
e132          109      2  1.522936    1     2  Did loans commit sellers to sell part or all of product to you?
e133          451      2  1.847007    1     2  Did you ever delay payment to seller when you sourced commodity from them?
e134           69     14  37.73913    4   100  What share of transactions with seller did you delay payment of in the last 12 m
e135           69      8  3.043478    1    20  By how long were payments to sellers delayed on average?
e135a          69      3   1.57971    1     3  E135a. Unit ...
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Food_Security_Policy_Project_Myanmar_Dry_Zone_Traders_Survey_2017_sec_e_selling_2012_roster.csv

Variable      Obs Unique      Mean  Min  Max  Label
------------------------------------------------------------------------------------------------------------------------------------------------
interview_~d  383    309         .    .    .  InterviewId
interview_~y  383    309         .    .    .  
selling_20~d  383     14  4.211488    1   99  selling_2012__id based on e154
e155          383     20  79.55614    0  100  E155. What share of the %c109% you sold during 2012 was sold to %selling_2011%?
e156__1       383      2  .1279373    0    1  Packaging used in 2012: Loose
e156__2       383      2  .8720627    0    1  Packaging used in 2012: In unbranded sack/bag
e156__3       383      2  .0313316    0    1  Packaging used in 2012: In sack/bag carrying own brand
e156__4       383      1         0    0    0  Packaging used in 2012: Other branded packaging
e156__5       383      1         0    0    0  Packaging used in 2012: Other unbranded packaging
e156__6       311      2  .0128617    0    1  Not Applicable
e157a         379      6   10.7124    0  100  Share of commodiy that was sold loose
e157b         379      7  86.22691    0  100  Share of commodiy that was sold in unbranded sack/bag
e157c         379      3  2.902375    0  100  Share of commodiy that was sold in sacks/bags carrying own brand
e157d         379      1         0    0    0  Share of commodiy that was sold other branded packaging (e152s1)
e157e         379      1         0    0    0  Share of commodiy that was sold other branded packaging (e152s2)
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